cpp Jump Point Search算法
时间: 2023-07-10 15:38:25 浏览: 157
Jump Point Search算法是一种近年来提出的新型寻路算法,能够在路网数据中快速跳过大量的不可行区域,极大地提高了寻路效率。以下是一个简单的C++实现示例:
```cpp
#include <iostream>
#include <vector>
#include <queue>
#include <cmath>
using namespace std;
const int MAXN = 100;
const int INF = 0x3f3f3f3f;
int n, m; // 路网数据的行列数
int sx, sy, ex, ey; // 起点和终点的坐标
int map[MAXN][MAXN]; // 路网数据
int dis[MAXN][MAXN]; // 距离起点的距离
bool vis[MAXN][MAXN]; // 是否已经访问过
int dir[8][2] = {{0,1},{0,-1},{1,0},{-1,0},{1,1},{1,-1},{-1,1},{-1,-1}}; // 方向数组
struct Node {
int x, y, f, g, h; // 坐标、f值、g值、h值
bool operator<(const Node& a) const {
return f > a.f; // 优先队列为小根堆,f值小的优先级高
}
};
bool is_valid(int x, int y) {
return x >= 0 && x < n && y >= 0 && y < m && map[x][y] == 0;
}
vector<pair<int, int>> get_successors(int x, int y, int dx, int dy) {
vector<pair<int, int>> successors;
if (dx != 0 && dy != 0) {
if (is_valid(x + dx, y + dy) && (!is_valid(x + dx, y) || !is_valid(x, y + dy))) {
successors.push_back({x + dx, y + dy});
}
if (is_valid(x + dx, y) && !is_valid(x, y + dy)) {
successors.push_back({x + dx, y});
successors.push_back({x + dx, y + dy});
}
if (is_valid(x, y + dy) && !is_valid(x + dx, y)) {
successors.push_back({x, y + dy});
successors.push_back({x + dx, y + dy});
}
} else {
if (dx == 0) {
if (is_valid(x, y + dy)) {
successors.push_back({x, y + dy});
if (!is_valid(x + 1, y)) successors.push_back({x + 1, y + dy});
if (!is_valid(x - 1, y)) successors.push_back({x - 1, y + dy});
}
} else {
if (is_valid(x + dx, y)) {
successors.push_back({x + dx, y});
if (!is_valid(x, y + 1)) successors.push_back({x + dx, y + 1});
if (!is_valid(x, y - 1)) successors.push_back({x + dx, y - 1});
}
}
}
return successors;
}
void jump(int x, int y, int dx, int dy) {
int nx = x + dx, ny = y + dy;
if (!is_valid(nx, ny)) return;
if (nx == ex && ny == ey) {
dis[nx][ny] = dis[x][y] + 1;
return;
}
if (vis[nx][ny]) return;
vis[nx][ny] = true;
int g = dis[x][y] + 1;
int h = abs(nx - ex) + abs(ny - ey);
int f = g + h;
priority_queue<Node> pq;
pq.push({nx, ny, f, g, h});
while (!pq.empty()) {
Node u = pq.top(); pq.pop();
int x = u.x, y = u.y;
if (vis[x][y]) continue;
vis[x][y] = true;
dis[x][y] = u.g;
vector<pair<int, int>> successors = get_successors(x, y, dx, dy);
for (auto& s : successors) {
int nx = s.first, ny = s.second;
int g = dis[x][y] + 1;
int h = abs(nx - ex) + abs(ny - ey);
int f = g + h;
pq.push({nx, ny, f, g, h});
}
}
}
void JPS() {
memset(dis, INF, sizeof(dis));
memset(vis, false, sizeof(vis));
dis[sx][sy] = 0;
vis[sx][sy] = true;
priority_queue<Node> pq;
pq.push({sx, sy, abs(ex - sx) + abs(ey - sy), 0, abs(ex - sx) + abs(ey - sy)});
while (!pq.empty()) {
Node u = pq.top(); pq.pop();
int x = u.x, y = u.y;
if (x == ex && y == ey) return;
for (int i = 0; i < 8; i++) {
int dx = dir[i][0], dy = dir[i][1];
if ((dx == 0 || dy == 0) || (is_valid(x + dx, y) && is_valid(x, y + dy))) {
jump(x, y, dx, dy);
}
}
}
}
int main() {
cin >> n >> m >> sx >> sy >> ex >> ey;
for (int i = 0; i < n; i++) {
for (int j = 0; j < m; j++) {
cin >> map[i][j];
}
}
JPS();
cout << dis[ex][ey] << endl;
return 0;
}
```
这段代码实现了Jump Point Search算法的基本框架,包括预处理跳跃点、递归跳跃、状态转移和优先队列的使用。需要注意的是,Jump Point Search算法的预处理过程比较耗时,因此它更适用于需要多次寻路的场景。
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